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Hossam Adel Zaqoot, Mazen Hamada & Shady Miqdad. (2018) A Comparative Study Of Ann For Predicting Nitrate Concentration In Groundwater Wells In The Southern Area Of Gaza Strip. Applied Artificial Intelligence 32:7-8, pages 727-744.
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E.S. Salami, M. Salari, M. Ehteshami, N.T. Bidokhti & H. Ghadimi. (2016) Application of artificial neural networks and mathematical modeling for the prediction of water quality variables (case study: southwest of Iran). Desalination and Water Treatment 57:56, pages 27073-27084.
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Articles from other publishers (15)
E Hadjisolomou, K Antoniadis, L Vasiliades, M Rousou, I Thasitis, R Abualhaija, H Herodotou, M Michaelides & I Kyriakides. (2022) Predicting Coastal Dissolved Oxygen Values with the Use of Artificial Neural Networks: A Case Study for Cyprus. IOP Conference Series: Earth and Environmental Science 1123:1, pages 012083.
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Mojtaba Poursaeid, Amir Hossein Poursaeed & Saeid Shabanlou. (2022) Study of water resources parameters using artificial intelligence techniques and learning algorithms: a survey. Applied Water Science 12:7.
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Mojtaba Poursaeid, Amir Houssain Poursaeid & Saeid Shabanlou. (2022) A Comparative Study of Artificial Intelligence Models and A Statistical Method for Groundwater Level Prediction. Water Resources Management 36:5, pages 1499-1519.
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Mojtaba Poursaeid, Reza Mastouri, Saeid Shabanlou & Mohsen Najarchi. (2020) Modelling qualitative and quantitative parameters of groundwater using a new wavelet conjunction heuristic method: wavelet extreme learning machine versus wavelet neural networks. Water and Environment Journal 35:1, pages 67-83.
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Eyüp Şişman & Burak Kizilöz. (2020) Artificial neural network system analysis and Kriging methodology for estimation of non-revenue water ratio. Water Supply 20:5, pages 1871-1883.
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Tatjana Mitrović, Davor Antanasijević, Saša Lazović, Aleksandra Perić-Grujić & Mirjana Ristić. (2019) Virtual water quality monitoring at inactive monitoring sites using Monte Carlo optimized artificial neural networks: A case study of Danube River (Serbia). Science of The Total Environment 654, pages 1000-1009.
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G. O'Reilly, C. C. Bezuidenhout & J. J. Bezuidenhout. (2018) Artificial neural networks: applications in the drinking water sector. Water Supply 18:6, pages 1869-1887.
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Marjan Salari, Esmaeel Salami Shahid, Seied Hosein Afzali, Majid Ehteshami, Gea Oliveri Conti, Zahra Derakhshan & Solmaz Nikbakht Sheibani. (2018) Quality assessment and artificial neural networks modeling for characterization of chemical and physical parameters of potable water. Food and Chemical Toxicology 118, pages 212-219.
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Tymoteusz Miller & Gorzysław Poleszczuk. (2017) Prediction of the Seasonal Changes of the Chloride Concentrations in Urban Water Reservoir. Ecological Chemistry and Engineering S 24:4, pages 595-611.
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Xue Li, Jian Sha & Zhong-liang Wang. (2017) A comparative study of multiple linear regression, artificial neural network and support vector machine for the prediction of dissolved oxygen. Hydrology Research 48:5, pages 1214-1225.
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E. S. Salami, M. Ehetshami, A. Karimi-Jashni, M. Salari, S. Nikbakht Sheibani & A. Ehteshami. (2016) A mathematical method and artificial neural network modeling to simulate osmosis membrane’s performance. Modeling Earth Systems and Environment 2:4, pages 1-11.
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Ekaterini Hadjisolomou, Konstantinos Stefanidis, George Papatheodorou & Evanthia Papastergiadou. (2016) Assessing the Contribution of the Environmental Parameters to Eutrophication with the Use of the “PaD” and “PaD2” Methods in a Hypereutrophic Lake. International Journal of Environmental Research and Public Health 13:8, pages 764.
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M. Khorasani, M. Ehteshami, H. Ghadimi & M. Salari. (2016) Simulation and analysis of temporal changes of groundwater depth using time series modeling. Modeling Earth Systems and Environment 2:2.
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E. S. Salami & M. Ehteshami. (2016) Application of neural networks modeling to environmentally global climate change at San Joaquin Old River Station. Modeling Earth Systems and Environment 2:1.
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M. Ehteshami, N. Dolatabadi Farahani & S. Tavassoli. (2016) Simulation of nitrate contamination in groundwater using artificial neural networks. Modeling Earth Systems and Environment 2:1.
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